神经调节
工件(错误)
闭环
动态范围
高动态范围
宽动态范围
刺激
脑深部刺激
电子工程
计算机科学
控制理论(社会学)
材料科学
神经科学
控制工程
工程类
人工智能
医学
心理学
帕金森病
疾病
控制(管理)
病理
作者
Zhang Qiu,Anh Tuan Nguyen,K. C. Su,Zhi Yang,Jian Xu
标识
DOI:10.1109/tbcas.2023.3321295
摘要
This article presents a high precision, wide dynamic range (DR) closed-loop neuromodulation (CLNM) system that can completely reject stimulation artifacts (SA) and achieve rapid SA recovery. In the recorder, a novel SA quick-blanking scheme is proposed for rail-to-rail SA rejection while minimizing SA recovery time. Besides, a new analog front-end (AFE) architecture based on a frequency-shaping (FS) technique is developed to extend DR intrinsically. In the stimulator, a stimulation driver implemented with a proposed redundant crossfire (RXF) technique is incorporated to improve the effective resolution of the stimulation current. The designed CLNM system is implemented in a 180 nm Bipolar-CMOS-DMOS (BCD) process. Measurement results show that the system is capable of tolerating rail-to-rail (5 V) SA and reducing the SA recovery time from 12 ms to 0.15 ms. The FS recorder extends the DR at low frequencies (LF) to 17.5 bits to enhance tolerance to LF interferences. The proposed stimulator adopting the 4-way RXF topology improves the effective resolution to 12.75 bits without consuming much extra area and power. Animal experiments demonstrate that the designed system can acquire high-fidelity neural signals immediately after stimulation onsets, thus supporting concurrent recording and stimulation.
科研通智能强力驱动
Strongly Powered by AbleSci AI